title: Morbidity variation and RAWP.
abstract: OBJECTIVE
  Resource allocations from the central government to the English health regions are determined by population levels adjusted by relative standardised mortality ratios (SMRs). The White Paper Working for Patients proposes that allocations should in future be based on capitation adjusted by some other measures of health. The aim of this paper was to investigate the effect of using morbidity data in the weighting algorithm instead of relative SMRs.
  
  
  METHODS
  Morbidity data were obtained from the Health and Lifestyle Survey, 1986. Three different measures of self reported morbidity were used (Long Standing Illness, Any Declared Condition, Any Handicap). Population weightings were calculated by national average bed use for these conditions and again for SMRs.
  
  
  METHODS
  This was a national survey using data from all the English health regions.
  
  
  RESULTS
  All three measures of morbidity showed a wider variation between regions than SMRs, and the weighted populations showed a correspondingly wide variation (approximately double that obtained when using SMRs).
  
  
  CONCLUSIONS
  The weighting of populations will be crucial in determining resource allocations to budget holders, whether in the hospital or primary care sector. However without a prior agreement on what counts as "need", the choice of these alternative measures will be arbitrary.
authors.affiliation: Centre for Health Economics, University of York, UK.
authors.forename: R A
authors.initials: RA
authors.lastname: Carr-Hill
authors.forename: A
authors.initials: A
authors.lastname: Maynard
authors.forename: R
authors.initials: R
authors.lastname: Slack
mesh_terms: D015276:Health Care Rationing; D006295:Health Resources / Q000600:supply & distribution; D006801:Humans; D009017:Morbidity; D009026:Mortality; D012040:Regional Health Planning; D013222:State Medicine / Q000191:economics*; D006113:United Kingdom / Q000453:epidemiology